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'AI extinction theory' does more harm than good; vivo's self-developed large model/operating system is launched; the world's most powerful long text large model can read 350,000 Chinese characters at a time丨AI New Retail Morning News
'AI extinction theory' does more harm than good; vivo's self-developed large model/operating system is launched; the world's most powerful long text large model can read 350,000 Chinese characters at a time丨AI New Retail Morning News
The importance of AI marketing observation lies in using artificial intelligence technology to analyze market trends, predict consumer behavior, and formulate marketing strategies based on these insights. AI can be used to more accurately identify target audiences, push products and services personalizedly, and improve marketing effectiveness. AI can also automate marketing processes, improve efficiency, and reduce investment in human resources. With the continuous development and application of AI technology, AI marketing observation will become an important tool for enterprises to gain market competitive advantage
《In one month, AI saved 28 foreign trade orders that would have been aborted after just a few words》
The AI product "Business Assistant" of Alibaba International Station was launched on November 1 and is open to all merchants to help merchants improve the efficiency and certainty of going overseas. Functions: It has functions such as smart hair products and smart reception. It can optimize titles, improve product introductions, generate product pictures and videos, polish words, output professional terms, etc. with one click. (Source: "Tianxia Online Business" WeChat official account)
《Andrew Ng joins Turing Award winner discussion: "AI extinction theory" will do more harm than good》
Andrew Ng joins the discussion with the Turing Award winner: He believes that over-exaggerating the risks may lead to regulations that suppress open source and stifle innovation. Biden signs first executive order on generative AI: US President Biden has set guardrails for the development and use of artificial intelligence. This order is the most comprehensive AI regulatory principle in the United States to date, covering safety, reliability, trustworthiness and other aspects. (Source: "Heart of the Machine" WeChat public account)
《Don’t just focus on big models, the future of AI now depends on the cloud as never before》
The development and application of large models require strong cloud computing support. Cloud computing has become a key factor in the future of AI and an indicator of concern to the market and investors. Alibaba Cloud has made technological innovations at all levels from underlying computing power to AI platform to model services, upgraded its cloud computing system, created a self-developed large-scale model with hundreds of billions of parameters, Tongyi Qianwen 2.0, and open sourced the 72B version. (Source: "Silicon Star Pro" WeChat public account)
Observations on the application of large models
《vivo’s self-developed large model/operating system is now available! The blue heart model supports the latest OriginOS4》
vivo has released five general large models, namely 1B, 7B, 70B, 130B and 175B. Among them, the 7B version will be open source to the outside world, while the 130B version has already been implemented on the device side. Based on its self-developed large-scale model capabilities, vivo also launched the Lanxin Qianxun natural language dialogue robot and Lanxin Xiao V assistant. The former has functions such as natural dialogue, and the latter is a system-level AI assistant built into vivo’s latest OriginOS4 system. (Source: "Qubit" WeChat public account)
《The world’s most powerful long text model, which can read 350,000 Chinese characters at a time: Baichuan2-192K is online》
The Baichuan2-192K large model released by Baichuan Intelligence is the large model with the longest context window length in the world and can process approximately 350,000 Chinese characters at a time. It is suitable for media, finance, law and other fields. It can quickly understand and analyze long documents, and provides functions such as question and answer. The technical advantage of this model lies in achieving a balance between window length and model performance through extreme optimization of algorithms and engineering. (Source: "Heart of the Machine" WeChat public account)
《From the small town of Stamford to the yandere cat girl, large AI models are subverting the game industry》
The potential of AI games: AI technology can assist in the generation of game characters, art pictures, game plots, character dubbing, etc. It can also allow game NPCs to have the ability to interact freely, plot generation, role-playing, etc., thereby creating an open game experience . Examples of AI games: Stanford AI Town, ChatDev Game Company, AI Werewolf, Yandere AI Cat Girl Girlfriend Simulator, etc. (Quoted from: "CSDN" WeChat public account) [End]
Pictures come from the Internet and have been deleted due to infringement
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Big model app Tencent Yuanbao is online! Hunyuan is upgraded to create an all-round AI assistant that can be carried anywhere
Jun 09, 2024 pm 10:38 PM
On May 30, Tencent announced a comprehensive upgrade of its Hunyuan model. The App "Tencent Yuanbao" based on the Hunyuan model was officially launched and can be downloaded from Apple and Android app stores. Compared with the Hunyuan applet version in the previous testing stage, Tencent Yuanbao provides core capabilities such as AI search, AI summary, and AI writing for work efficiency scenarios; for daily life scenarios, Yuanbao's gameplay is also richer and provides multiple features. AI application, and new gameplay methods such as creating personal agents are added. "Tencent does not strive to be the first to make large models." Liu Yuhong, vice president of Tencent Cloud and head of Tencent Hunyuan large model, said: "In the past year, we continued to promote the capabilities of Tencent Hunyuan large model. In the rich and massive Polish technology in business scenarios while gaining insights into users’ real needs
Bytedance Beanbao large model released, Volcano Engine full-stack AI service helps enterprises intelligently transform
Jun 05, 2024 pm 07:59 PM
Tan Dai, President of Volcano Engine, said that companies that want to implement large models well face three key challenges: model effectiveness, inference costs, and implementation difficulty: they must have good basic large models as support to solve complex problems, and they must also have low-cost inference. Services allow large models to be widely used, and more tools, platforms and applications are needed to help companies implement scenarios. ——Tan Dai, President of Huoshan Engine 01. The large bean bag model makes its debut and is heavily used. Polishing the model effect is the most critical challenge for the implementation of AI. Tan Dai pointed out that only through extensive use can a good model be polished. Currently, the Doubao model processes 120 billion tokens of text and generates 30 million images every day. In order to help enterprises implement large-scale model scenarios, the beanbao large-scale model independently developed by ByteDance will be launched through the volcano
Using Shengteng AI technology, the Qinling·Qinchuan transportation model helps Xi'an build a smart transportation innovation center
Oct 15, 2023 am 08:17 AM
"High complexity, high fragmentation, and cross-domain" have always been the primary pain points on the road to digital and intelligent upgrading of the transportation industry. Recently, the "Qinling·Qinchuan Traffic Model" with a parameter scale of 100 billion, jointly built by China Vision, Xi'an Yanta District Government, and Xi'an Future Artificial Intelligence Computing Center, is oriented to the field of smart transportation and provides services to Xi'an and its surrounding areas. The region will create a fulcrum for smart transportation innovation. The "Qinling·Qinchuan Traffic Model" combines Xi'an's massive local traffic ecological data in open scenarios, the original advanced algorithm self-developed by China Science Vision, and the powerful computing power of Shengteng AI of Xi'an Future Artificial Intelligence Computing Center to provide road network monitoring, Smart transportation scenarios such as emergency command, maintenance management, and public travel bring about digital and intelligent changes. Traffic management has different characteristics in different cities, and the traffic on different roads
Uncovering the NVIDIA large model inference framework: TensorRT-LLM
Feb 01, 2024 pm 05:24 PM
1. Product positioning of TensorRT-LLM TensorRT-LLM is a scalable inference solution developed by NVIDIA for large language models (LLM). It builds, compiles and executes calculation graphs based on the TensorRT deep learning compilation framework, and draws on the efficient Kernels implementation in FastTransformer. In addition, it utilizes NCCL for communication between devices. Developers can customize operators to meet specific needs based on technology development and demand differences, such as developing customized GEMM based on cutlass. TensorRT-LLM is NVIDIA's official inference solution, committed to providing high performance and continuously improving its practicality. TensorRT-LL
Benchmark GPT-4! China Mobile's Jiutian large model passed dual registration
Apr 04, 2024 am 09:31 AM
According to news on April 4, the Cyberspace Administration of China recently released a list of registered large models, and China Mobile’s “Jiutian Natural Language Interaction Large Model” was included in it, marking that China Mobile’s Jiutian AI large model can officially provide generative artificial intelligence services to the outside world. . China Mobile stated that this is the first large-scale model developed by a central enterprise to have passed both the national "Generative Artificial Intelligence Service Registration" and the "Domestic Deep Synthetic Service Algorithm Registration" dual registrations. According to reports, Jiutian’s natural language interaction large model has the characteristics of enhanced industry capabilities, security and credibility, and supports full-stack localization. It has formed various parameter versions such as 9 billion, 13.9 billion, 57 billion, and 100 billion, and can be flexibly deployed in Cloud, edge and end are different situations
Advanced practice of industrial knowledge graph
Jun 13, 2024 am 11:59 AM
1. Background Introduction First, let’s introduce the development history of Yunwen Technology. Yunwen Technology Company...2023 is the period when large models are prevalent. Many companies believe that the importance of graphs has been greatly reduced after large models, and the preset information systems studied previously are no longer important. However, with the promotion of RAG and the prevalence of data governance, we have found that more efficient data governance and high-quality data are important prerequisites for improving the effectiveness of privatized large models. Therefore, more and more companies are beginning to pay attention to knowledge construction related content. This also promotes the construction and processing of knowledge to a higher level, where there are many techniques and methods that can be explored. It can be seen that the emergence of a new technology does not necessarily defeat all old technologies. It is also possible that the new technology and the old technology will be integrated with each other.
New test benchmark released, the most powerful open source Llama 3 is embarrassed
Apr 23, 2024 pm 12:13 PM
If the test questions are too simple, both top students and poor students can get 90 points, and the gap cannot be widened... With the release of stronger models such as Claude3, Llama3 and even GPT-5 later, the industry is in urgent need of a more difficult and differentiated model Benchmarks. LMSYS, the organization behind the large model arena, launched the next generation benchmark, Arena-Hard, which attracted widespread attention. There is also the latest reference for the strength of the two fine-tuned versions of Llama3 instructions. Compared with MTBench, which had similar scores before, the Arena-Hard discrimination increased from 22.6% to 87.4%, which is stronger and weaker at a glance. Arena-Hard is built using real-time human data from the arena and has a consistency rate of 89.1% with human preferences.
GPT Store can't even open its doors. How dare this domestic platform take this path? ?
Apr 19, 2024 pm 09:30 PM
Pay attention, this man has connected more than 1,000 large models, allowing you to plug in and switch seamlessly. Recently, a visual AI workflow has been launched: giving you an intuitive drag-and-drop interface, you can drag, pull, and drag to arrange your own workflow on an infinite canvas. As the saying goes, war costs speed, and Qubit heard that within 48 hours of this AIWorkflow going online, users had already configured personal workflows with more than 100 nodes. Without further ado, what I want to talk about today is Dify, an LLMOps company, and its CEO Zhang Luyu. Zhang Luyu is also the founder of Dify. Before joining the business, he had 11 years of experience in the Internet industry. I am engaged in product design, understand project management, and have some unique insights into SaaS. Later he
